| Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation | Jun 16, 2021 | Few-Shot Image Classificationimage-classification | CodeCode Available | 1 | 5 |
| Can Learned Optimization Make Reinforcement Learning Less Difficult? | Jul 9, 2024 | Decision MakingMeta-Learning | CodeCode Available | 1 | 5 |
| BOML: A Modularized Bilevel Optimization Library in Python for Meta Learning | Sep 28, 2020 | Bilevel OptimizationMeta-Learning | CodeCode Available | 1 | 5 |
| AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents | Oct 15, 2023 | In-Context LearningIn-Context Reinforcement Learning | CodeCode Available | 1 | 5 |
| BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach | Sep 19, 2022 | Bilevel OptimizationContinual Learning | CodeCode Available | 1 | 5 |
| Boosting Few-Shot Classification with View-Learnable Contrastive Learning | Jul 20, 2021 | ClassificationContrastive Learning | CodeCode Available | 1 | 5 |
| A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning for Any Atlas and Disorder | May 31, 2025 | Contrastive LearningMeta-Learning | CodeCode Available | 1 | 5 |
| CD-FSOD: A Benchmark for Cross-domain Few-shot Object Detection | Oct 11, 2022 | Cross-Domain Few-ShotCross-Domain Few-Shot Object Detection | CodeCode Available | 1 | 5 |
| A Meta-Learning Approach for Training Explainable Graph Neural Networks | Sep 20, 2021 | Graph ClassificationMeta-Learning | CodeCode Available | 1 | 5 |
| A Meta-Learning Approach for Graph Representation Learning in Multi-Task Settings | Dec 12, 2020 | Graph Representation LearningMeta-Learning | CodeCode Available | 1 | 5 |
| A contrastive rule for meta-learning | Apr 4, 2021 | Meta-Learning | CodeCode Available | 1 | 5 |
| CAMeL: Cross-modality Adaptive Meta-Learning for Text-based Person Retrieval | Apr 26, 2025 | Meta-LearningPerson Retrieval | CodeCode Available | 1 | 5 |
| Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents | Feb 4, 2021 | Meta-LearningMeta Reinforcement Learning | CodeCode Available | 1 | 5 |
| A Large Scale Search Dataset for Unbiased Learning to Rank | Jul 7, 2022 | Causal DiscoveryLanguage Modelling | CodeCode Available | 1 | 5 |
| Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach | Jul 20, 2022 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 | 5 |
| AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration | Dec 3, 2021 | Few-Shot Object DetectionMeta-Learning | CodeCode Available | 1 | 5 |
| Procedural generation of meta-reinforcement learning tasks | Feb 11, 2023 | Meta-LearningMeta Reinforcement Learning | CodeCode Available | 1 | 5 |
| Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-start | Feb 7, 2022 | Bilevel OptimizationData Poisoning | CodeCode Available | 1 | 5 |
| BlackGoose Rimer: Harnessing RWKV-7 as a Simple yet Superior Replacement for Transformers in Large-Scale Time Series Modeling | Mar 8, 2025 | Meta-LearningTime Series | CodeCode Available | 1 | 5 |
| BaMBNet: A Blur-aware Multi-branch Network for Defocus Deblurring | May 31, 2021 | DeblurringImage Defocus Deblurring | CodeCode Available | 1 | 5 |
| Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks | May 19, 2021 | Data AugmentationMeta-Learning | CodeCode Available | 1 | 5 |
| Bayesian Model-Agnostic Meta-Learning | Jun 11, 2018 | Active Learningimage-classification | CodeCode Available | 1 | 5 |
| AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning | Feb 20, 2018 | Bayesian OptimizationDiagnostic | CodeCode Available | 1 | 5 |
| AwesomeMeta+: A Mixed-Prototyping Meta-Learning System Supporting AI Application Design Anywhere | Apr 24, 2023 | Image ClassificationMeta-Learning | CodeCode Available | 1 | 5 |
| Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation | Apr 21, 2022 | DecoderFew-Shot Semantic Segmentation | CodeCode Available | 1 | 5 |
